If you’re working with generative AI, figuring out which large language model (LLM) works best for your needs can be tricky. Models are constantly evolving, and their responses can vary each time you test them. Plus, some models are cheaper or free to run locally, which might be a good option depending on your project.
Loading
All posts tagged in Large Language Models
Amsterdam-based AI infrastructure company Orq.ai has unveiled a new product called the AI Router. This move highlights a shift in how big organizations manage large language models (LLMs), focusing on better control, cost management, and sovereignty. By making the routing layer a standalone product, Orq.ai aims to give enterprises more flexibility and control over their
Read More
166
Alibaba has introduced Qwen3.5, a new multimodal AI model designed to enhance digital agents used in business. This model aims to support complex reasoning and tool usage across various applications. The shift reflects a move away from simple chatbots toward AI systems capable of handling multi-step workflows with minimal human input. Enhanced Capabilities and Benchmark
Read More126
Alibaba has introduced Qwen3.5, a new multimodal AI model designed to support complex enterprise workflows. The company says this system can handle advanced reasoning and tool use across various applications. The upgrade reflects a shift toward AI systems that can perform multi-step tasks with minimal human input, moving beyond simple chatbots. Enhanced Capabilities and Benchmark
Read More154
OpenAI continues to be at the forefront of artificial intelligence innovation. It’s a hybrid organization with both non-profit and for-profit arms, and it’s making headlines regularly. The company gained widespread attention with its ChatGPT chatbot, launched in 2022, which has significantly impacted tech and other industries. As OpenAI navigates partnerships, legal issues, and product updates,
Read More133
Alibaba has introduced its latest AI model, Qwen 3.5, which is making waves by matching the performance of proprietary models on standard hardware. Traditionally, US-based labs have led in AI performance, but open-source options like Qwen are now closing that gap. This development could help businesses cut costs and gain more flexibility in deploying AI
Read More151
A recent study from Microsoft reveals that a single simple prompt can significantly weaken safety measures in leading AI and image models. This discovery raises concerns about how reliable these models are when customized for business use. The research shows that even harmless-sounding prompts can make these models more permissive and less safe across many
Read More185
Running large language models locally can be a game-changer for many users, especially those who want more control and privacy. LM Studio by Element Labs offers a user-friendly desktop app that makes working with LLMs straightforward. Unlike coding-heavy tools, this application provides an interface similar to an IDE, allowing users to interact with models without
Read More277
Major Chinese tech companies like Alibaba, Tencent, and Huawei are making big strides in developing agentic AI systems. These are AI tools that can perform complex, multi-step tasks on their own, without needing human instructions. They are also focusing on tailoring these systems to specific industries and workflows, such as finance, manufacturing, and logistics. Alibaba’s
Read More191
Western AI labs are pulling back from releasing large models openly. Meanwhile, Chinese developers are stepping in to fill the gap. They are building powerful AI models designed to run on everyday hardware, making them more accessible and easier to use. A recent security study highlights just how much Chinese AI has taken over this
Read More178
